Triple
T35108708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳其美 |
E1013224
|
entity |
| Predicate | 遭遇 |
P2854
|
FINISHED |
| Object | 1916年在上海被刺殺身亡 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1916年在上海被刺殺身亡 | Statement: [陳其美, 遭遇, 1916年在上海被刺殺身亡]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 遭遇 Context triple: [陳其美, 遭遇, 1916年在上海被刺殺身亡]
-
A.
mayExperience
Indicates that an entity is capable of undergoing, feeling, or being subject to a particular event, state, or condition.
-
B.
encountered
Indicates that one entity came across or met another entity, typically in a specific place or context, often unexpectedly or during the course of some activity.
-
C.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
D.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
واجه
Indicates that one entity confronts, faces, or encounters another entity or situation, often involving direct opposition or challenge.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.